ArticleFrontiers in cellular and infection microbiology2021
The Clinical Potential of Oral Microbiota as a Screening Tool for Oral Squamous Cell Carcinomas.
Article in Frontiers in cellular and infection microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
30 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- A systematic review and meta-analysis reveals enrichment of pro-inflammatory and bacterial immunity-modulating taxa in oral squamous cell carcinoma.Frontiers in immunology · 2026Pooled it
- Exploring oral microbiome in oral squamous cell carcinoma across environment-associated sample types.Microbiology spectrum · 2025Pooled it
- Systematic analyses uncover robust salivary microbial signatures and host-microbiome perturbations in oral squamous cell carcinoma.mSystems · 2025Pooled it
- IntratumoralJournal for immunotherapy of cancer · 2026Article
- Application of artificial intelligence in oral potentially malignant disorders: current opinions and future barriers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Review
- Veillonella, Neisseria, Prevotella, and Lachnoanaerobaculum enrichment in salivary microbiome predicts gallstone disease.European journal of medical research · 2026Article
- Oral Microbiota and Clinical Outcomes in Allogenic Hematopoietic Stem Cell Transplantation: A Systematic Review.Microorganisms · 2026Review
- Recent advancements in artificial intelligence-powered cancer prediction from oral microbiome.Periodontology 2000 · 2025Review
- Causal Association Between Microbiome and Oral-Oropharyngeal Cancer: A Mendelian Randomization Study.International dental journal · 2025Article
- Artificial Intelligence in Oral Cancer: A Comprehensive Scoping Review of Diagnostic and Prognostic Applications.Diagnostics (Basel, Switzerland) · 2025Review
- Microbiome analysis in individuals with human papillomavirus oral infection.Scientific reports · 2025Article
- Crosstalk Between Oral Microbiome and Cancer: Emerging Trends and Insights.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025Article
- Is Short-Read 16S rRNA Sequencing of Oral Microbiome Sampling a Suitable Diagnostic Tool for Head and Neck Cancer?Pathogens (Basel, Switzerland) · 2024Article
- A review of machine learning methods for cancer characterization from microbiome data.NPJ precision oncology · 2024Review
- Salivary Metabolites Produced by Oral Microbes in Oral Diseases and Oral Squamous Cell Carcinoma: A Review.Metabolites · 2024Review
- Diversity and compositional differences in the oral microbiome of oral squamous cell carcinoma patients and healthy controls: a scoping review.Frontiers in oral health · 2024Article
- Integration of host gene regulation and oral microbiome reveals the influences of smoking during the development of oral squamous cell carcinoma.Frontiers in oncology · 2024Article
- Mechanisms and Potential Clinical Implications of Oral Microbiome in Oral Squamous Cell Carcinoma.Current oncology (Toronto, Ont.) · 2023Review
- Experimental Modeling of Host-Bacterial Interactions in Head and Neck Squamous Cell Carcinoma.Cancers · 2023Review
- Influence of pathogens on host genome and epigenome in development of head and neck cancer.Cancer reports (Hoboken, N.J.) · 2023Review
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The oral squamous cell carcinoma (OSCC) is detrimental to patients' physical and mental health. The prognosis of OSCC depends on the early diagnosis of OSCC in large populations. Objectives: Here, the present study aimed to develop an early diagnostic model based on the relationship between OSCC and oral microbiota. Methods: Overall, 164 samples were collected from 47 OSCC patients and 48 healthy individuals as controls, including saliva, subgingival plaque, the tumor surface, the control side (healthy mucosa), and tumor tissue. Based on 16S rDNA sequencing, data from all the five sites, and salivary samples only, two machine learning models were developed to diagnose OSCC. Results: The average diagnostic accuracy rates of five sites and saliva were 98.17% and 95.70%, respectively. Cross-validations showed estimated external prediction accuracies of 96.67% and 93.58%, respectively. The false-negative rate was 0%. Besides, it was shown that OSCC could be diagnosed on any one of the five sites. In this model, Conclusion: This study provided a noninvasive and inexpensive way to diagnose malignancy based on oral microbiota without radiation. Applying machine learning methods in microbiota data to diagnose OSCC constitutes an example of a microbial assistant diagnostic model for other malignancies.
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